docs: def hazard_stats(self):
          """
          Return a list of item with the statistical functions defined for the
          hazard calculation
          """
          names = []  # name of statistical functions
          funcs = []  # statistical functions of kind func(values, weights)
          if self.mean_hazard_curves:
              names.append('mean')
              funcs.append(stats.mean_curve)
          if self.std_hazard_curves:
              names.append('std')
              funcs.append(stats.std_curve)
          for q in self.quantiles:
              names.append('quantile-%s' % q)
              funcs.append(functools.partial(stats.quantile_curve, q))
          if self.max_hazard_curves:
              names.append('max')
              funcs.append(stats.max_curve)
          return dict(zip(names, funcs))